Welcome!

@CloudExpo Authors: Automic Blog, Pat Romanski, Liz McMillan, Kevin Jackson, Elizabeth White

Related Topics: @DXWorldExpo, Java IoT, Industrial IoT, Microservices Expo, Microsoft Cloud, @CloudExpo

@DXWorldExpo: Article

Simplified Data Retention on a Massive Scale Speeds Access to Big Data

Organizations can gain competitive advantages when able to rely on data retention for improved decision making & trend analysis

There are numerous applications for cost-effective data retention. Organizations can gain substantial competitive advantages when able to rely on data retention for improved decision making and trend analysis. Research enterprises can make use of large scale data sets enabling them to study information more completely than ever before.

Simplified data retention on a massive scale speeds up access time to Big Data. Big Data is defined as large-scale data sets that are too large to analyze and manage using ordinary methods. This data in both structured and unstructured form is valuable and comes from sources such as trading systems.

In many cases existing systems cannot process data of this variety and volume. Some organizations store such data in file systems so as not to overburden their databases. This may be a temporary stop gap, but it will not suffice in the long run. Because Big Data is increasing at an exponential rate, this is only a temporary solution. It's likely that machine-generated data will exceed the processing capability of conventional systems. The cost of extracting this data can be so high that many organizations will just shy away from it.

Today technology is just beginning to address Big Data issues. Many organizations try to apply existing strategies to manage this data effectively. Standard methods from relational database queries to complex analysis tools are being used. Data retention software is also being applied to extract relevant information from Big Data sources.

Currently Big Data retention technology is available that is scalable and easy to implement. Using this technology it's possible to access Big Data online using SQL along with business intelligence software. Components of this type of system are storage platforms with specialized software and a specialized massive scale data repository developed for data retention online. This unique Big Data management system is scalable and designed to process machine-generated data at 40:11 compression ratios while maintaining its online availability.

Organizations that need to process Big Data may benefit by using databases specifically designed for this purpose. Such databases will prove cost-effective and are currently being used in numerous organizations internationally. Such databases work in parallel allowing tens of billions of records to be processed each day. At the same time, the retention capability is practically limitless. This database can fit content addressable storage (CAS), direct attach storage (DAS), and storage area network (SAN). Some of the benefits of this data storage and retrieval system are reduction in infrastructure through reduction in physical storage demand and effective, configurable record management.

One Big Data retention solution has three components. The first is paired server level service managers that share metadata and provide import and query capability. The second is a data archive residing on a cluster services node as well as storage nodes. It's designed with enough scalability to process billions of objects. The third component consists of shared storage that can be local direct access storage, a network file system or a comprehensive clustered file system.

This type of system was recently tested on 508 GB of artificially generated using stock trading test data, modeled after NASDAQ. Performance test results for data import showed a rate of close to 12 billion records imported within an hour. Data compression resulted in a data reduction of 476.1 GB. The archive data was only about 6.3% of the original size prior to compression. A SQL query was executed selecting the three largest volume stocks having trades of well over 4 million per day. This query against 11.6 billion records took approximately 5.5 seconds to execute.

Big Data is high-volume, high-velocity and perhaps highly variable as well. Big Data retention solutions can lead to better decision making, new discoveries and even process optimization. Science is a major area that can benefit from Big Data solutions. Meteorology is just one example that can reap rewards by using new technological advances in data retention on a massive scale. The ability to do research and analysis with extremely large sets of data gives greater understanding to those who are modeling weather, oceanographic conditions, the economy or social trends. With new cost-effective technology available many new organizations will consider the possibilities of Big Data retention in their enterprise.

More Stories By Alan McMahon

Alan McMahon works for Dell. He has worked for Dell for the past 13 years and is involved in enterprise solution design across a range of products from servers and storage to virtualization. He now focuses his attention on marketing for Dell. He is based in Ireland and enjoys sailing as a past time.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@CloudExpo Stories
Digital transformation is about embracing digital technologies into a company's culture to better connect with its customers, automate processes, create better tools, enter new markets, etc. Such a transformation requires continuous orchestration across teams and an environment based on open collaboration and daily experiments. In his session at 21st Cloud Expo, Alex Casalboni, Technical (Cloud) Evangelist at Cloud Academy, explored and discussed the most urgent unsolved challenges to achieve f...
Nordstrom is transforming the way that they do business and the cloud is the key to enabling speed and hyper personalized customer experiences. In his session at 21st Cloud Expo, Ken Schow, VP of Engineering at Nordstrom, discussed some of the key learnings and common pitfalls of large enterprises moving to the cloud. This includes strategies around choosing a cloud provider(s), architecture, and lessons learned. In addition, he covered some of the best practices for structured team migration an...
Recently, WebRTC has a lot of eyes from market. The use cases of WebRTC are expanding - video chat, online education, online health care etc. Not only for human-to-human communication, but also IoT use cases such as machine to human use cases can be seen recently. One of the typical use-case is remote camera monitoring. With WebRTC, people can have interoperability and flexibility for deploying monitoring service. However, the benefit of WebRTC for IoT is not only its convenience and interopera...
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone inn...
"WineSOFT is a software company making proxy server software, which is widely used in the telecommunication industry or the content delivery networks or e-commerce," explained Jonathan Ahn, COO of WineSOFT, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
There is a huge demand for responsive, real-time mobile and web experiences, but current architectural patterns do not easily accommodate applications that respond to events in real time. Common solutions using message queues or HTTP long-polling quickly lead to resiliency, scalability and development velocity challenges. In his session at 21st Cloud Expo, Ryland Degnan, a Senior Software Engineer on the Netflix Edge Platform team, will discuss how by leveraging a reactive stream-based protocol,...
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the business impact of software failures. How can software testing professionals keep pace with modern application delivery, given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery)? This is where continuous testing comes in. D
The dynamic nature of the cloud means that change is a constant when it comes to modern cloud-based infrastructure. Delivering modern applications to end users, therefore, is a constantly shifting challenge. Delivery automation helps IT Ops teams ensure that apps are providing an optimal end user experience over hybrid-cloud and multi-cloud environments, no matter what the current state of the infrastructure is. To employ a delivery automation strategy that reflects your business rules, making r...
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, discussed how given the magnitude of today's application ...
Sanjeev Sharma Joins June 5-7, 2018 @DevOpsSummit at @Cloud Expo New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
Digital Transformation (DX) is not a "one-size-fits all" strategy. Each organization needs to develop its own unique, long-term DX plan. It must do so by realizing that we now live in a data-driven age, and that technologies such as Cloud Computing, Big Data, the IoT, Cognitive Computing, and Blockchain are only tools. In her general session at 21st Cloud Expo, Rebecca Wanta explained how the strategy must focus on DX and include a commitment from top management to create great IT jobs, monitor ...
The 22nd International Cloud Expo | 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo | DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding busin...
"Digital transformation - what we knew about it in the past has been redefined. Automation is going to play such a huge role in that because the culture, the technology, and the business operations are being shifted now," stated Brian Boeggeman, VP of Alliances & Partnerships at Ayehu, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams. In his session at 22nd Cloud Expo | DXWorld Expo, Daniel Jones, CTO of EngineerBetter, will answer: How can we improve willpower and decrease technical debt? Is the present bias real? How can we turn it to our advantage? Can you increase a team’s effective IQ? How do DevOps & Product Teams increase empathy, and what impact does empath...
You know you need the cloud, but you're hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You're looking at private cloud solutions based on hyperconverged infrastructure, but you're concerned with the limits inherent in those technologies. What do you do?
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...